Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

Abstract Nowadays Machine Learning approaches are getting popular in almost all the
domains of Engineering Applications. One such widely used approach is Artificial Neural …

Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary
Computing presents an introduction to some of the cutting edge technological paradigms …

The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy
inference system) is presented, which is a fuzzy inference system implemented in the …

In retrospect, the year 1990 may well be viewed as the beginning of a new trend in the
design of household appliances, consumer electronics, cameras, and other types of widely …

A fuzzy neural netwurk model based in the multilayer perceptron, using the back-
propagation algorithm, and capable of fuzzy classificatiun of patterns iş described, The impul …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

The world we live in is becoming ever more reliant on the use of electronics and computers
to control the behavior of real-world resources. For example, an increasing amount of …

From the Publisher: Fuzzy and Neural Approaches in Engineering presents a detailed
examination of the fundamentals of fuzzy systems and neural networks and then joins them …